Case Study: OMV achieves faster sustainable product decision-making with Databricks

Driving eco-innovation in the energy sector for a cleaner future

OMV, headquartered in Vienna, is transforming into an integrated sustainable chemicals, fuels and energy company, but it needed a better way to support sustainable product development and regulatory decision-making. The company struggled to manage more than 100,000 pages of product certifications, research, and EU regulatory data, and its early generative AI experiments did not deliver the efficiency or cost control it needed.

Using the Databricks Data Intelligence Platform, OMV built a more scalable data and knowledge platform to speed up discovery and processing of text and tabular data. With Databricks, OMV significantly reduced data discovery time, improved productivity, and enabled faster, better-informed decisions for its teams, while also improving the efficiency-to-cost ratio of its workflows.

OMV

Harisyam Manda

Senior Data Scientist